Novel PCM Integration with Electrical Heat Pump for Demand Response

Jin Dong; Bo Shen; Jeffrey Munk; Kyle R. Gluesenkamp; Tim Laclair; Teja Kuruganti

doi:10.1109/PESGM40551.2019.8973936

Novel PCM Integration with Electrical Heat Pump for Demand Response

Jin Dong, Bo Shen, Jeffrey Munk, Kyle R. Gluesenkamp, Tim Laclair, Teja Kuruganti

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, we examine the potential for using phase change material (PCM) as a thermal storage medium for improving the efficiency as well as enabling grid-responsive control of heat pump (HP) systems. Previous research in PCM integration in buildings has primarily been focused on integration with building envelopes. An objective of our research is to design a novel and practical PCM integration with existing HP systems. High-fidelity models for building, HP and PCM are developed to facilitate the model-based predictive control (MPC) design. To optimize the operation of HP and PCM, we introduce an optimization problem considering various constraints for both comfort and hardware constraints. We include experimental results in which a house fleet are optimized to minimize their power consumption or electricity cost. We numerically demonstrate the designs potential for reducing power consumption or electricity cost by 13% or 19%, respectively.

Original language	English
Title of host publication	2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728119816
DOIs	https://doi.org/10.1109/PESGM40551.2019.8973936
State	Published - Aug 2019
Event	2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States Duration: Aug 4 2019 → Aug 8 2019

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2019-August
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Country/Territory	United States
City	Atlanta
Period	08/4/19 → 08/8/19

Funding

This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Funders	Funder number
U.S. Department of Energy

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10.1109/PESGM40551.2019.8973936

Cite this

Dong, J., Shen, B., Munk, J., Gluesenkamp, K. R., Laclair, T., & Kuruganti, T. (2019). Novel PCM Integration with Electrical Heat Pump for Demand Response. In 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 Article 8973936 (IEEE Power and Energy Society General Meeting; Vol. 2019-August). IEEE Computer Society. https://doi.org/10.1109/PESGM40551.2019.8973936

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title = "Novel PCM Integration with Electrical Heat Pump for Demand Response",

abstract = "In this paper, we examine the potential for using phase change material (PCM) as a thermal storage medium for improving the efficiency as well as enabling grid-responsive control of heat pump (HP) systems. Previous research in PCM integration in buildings has primarily been focused on integration with building envelopes. An objective of our research is to design a novel and practical PCM integration with existing HP systems. High-fidelity models for building, HP and PCM are developed to facilitate the model-based predictive control (MPC) design. To optimize the operation of HP and PCM, we introduce an optimization problem considering various constraints for both comfort and hardware constraints. We include experimental results in which a house fleet are optimized to minimize their power consumption or electricity cost. We numerically demonstrate the designs potential for reducing power consumption or electricity cost by 13% or 19%, respectively.",

author = "Jin Dong and Bo Shen and Jeffrey Munk and Gluesenkamp, {Kyle R.} and Tim Laclair and Teja Kuruganti",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 ; Conference date: 04-08-2019 Through 08-08-2019",

year = "2019",

month = aug,

doi = "10.1109/PESGM40551.2019.8973936",

language = "English",

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Dong, J , Shen, B, Munk, J, Gluesenkamp, KR, Laclair, T & Kuruganti, T 2019, Novel PCM Integration with Electrical Heat Pump for Demand Response. in 2019 IEEE Power and Energy Society General Meeting, PESGM 2019., 8973936, IEEE Power and Energy Society General Meeting, vol. 2019-August, IEEE Computer Society, 2019 IEEE Power and Energy Society General Meeting, PESGM 2019, Atlanta, United States, 08/4/19. https://doi.org/10.1109/PESGM40551.2019.8973936

Novel PCM Integration with Electrical Heat Pump for Demand Response. / Dong, Jin ; Shen, Bo; Munk, Jeffrey et al.
2019 IEEE Power and Energy Society General Meeting, PESGM 2019. IEEE Computer Society, 2019. 8973936 (IEEE Power and Energy Society General Meeting; Vol. 2019-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this paper, we examine the potential for using phase change material (PCM) as a thermal storage medium for improving the efficiency as well as enabling grid-responsive control of heat pump (HP) systems. Previous research in PCM integration in buildings has primarily been focused on integration with building envelopes. An objective of our research is to design a novel and practical PCM integration with existing HP systems. High-fidelity models for building, HP and PCM are developed to facilitate the model-based predictive control (MPC) design. To optimize the operation of HP and PCM, we introduce an optimization problem considering various constraints for both comfort and hardware constraints. We include experimental results in which a house fleet are optimized to minimize their power consumption or electricity cost. We numerically demonstrate the designs potential for reducing power consumption or electricity cost by 13% or 19%, respectively.

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Novel PCM Integration with Electrical Heat Pump for Demand Response

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